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Command R (08-2024) vs GPT-4.1 Nano

vs
GPT-4.1 Nano

OpenAI

42#171
Signal-by-Signal Comparison
SignalCommand R (08-2024)DeltaGPT-4.1 Nano
Capabilities
50
-33
83
Benchmarks
43
-1
44
Pricing
99
0
100
Context window size
73
-13
86
Recency
9
-41
50
Output Capacity
60
-15
75
Overall Result
0 wins
of 6
6 wins
GPT-4.1 Nano wins 6 of 6 signals

Score History

Score History (22 data points)
Command R (08-2024)GPT-4.1 Nano
Command R (08-2024)

41.4

current score

Leader

GPT-4.1 Nano

right now

GPT-4.1 Nano

41.7

current score

LMMarketCap.com
Interactive Price Comparison
100Kcalls/month
1,000tokens (~1,333 chars)
500tokens (~667 chars)

Command R (08-2024)

Cohere

Per request$0.000450
Daily$1.50
Monthly$45.00
Annual$540.00

GPT-4.1 Nano

OpenAI

Best Value
Per request$0.000300
Daily$1.00
Monthly$30.00
Annual$360.00

GPT-4.1 Nano saves you $15.00/month

That's $180.00/year compared to Command R (08-2024) at your current usage level of 100K calls/month.

33% cheaper
Choose GPT-4.1 Nano for cost optimization

Command R (08-2024) pricing:
Input:$0.15/M tokens
Output:$0.60/M tokens
GPT-4.1 Nano pricing:
Input:$0.10/M tokens
Output:$0.40/M tokens
Command R (08-2024)

Cohere

41

Composite Score

Winner
GPT-4.1 Nano

OpenAI

42

Composite Score

Signal-by-Signal Comparison
MetricCommand R (08-2024)GPT-4.1 NanoWinner
Overall Score
41
42
GPT-4.1 Nano
Rank#172#171
GPT-4.1 Nano
Quality Rank#172#171
GPT-4.1 Nano
Adoption Rank#172#171
GPT-4.1 Nano
Parameters------
Context Window128K1048K
GPT-4.1 Nano
Pricing$0.15/$0.60/M$0.10/$0.40/M--
Signal Scores
Capabilities
50
83
GPT-4.1 Nano
Benchmarks
43
44
GPT-4.1 Nano
Pricing
99
100
GPT-4.1 Nano
Context window size
73
86
GPT-4.1 Nano
Recency
9
50
GPT-4.1 Nano
Output Capacity
60
75
GPT-4.1 Nano
Benchmark Head-to-Head(2 benchmarks)
Command R: 1GPT-4.1 Nano: 1
Command R
GPT-4.1 Nano
Normalized 0-100%
Arena Elo
12501322
BigCodeBench
37.1%28.4%
Benchmark Interpretation

Our score (0-100) is driven by benchmark performance (90%) from Arena Elo ratings, MMLU, GPQA, HumanEval, SWE-bench, and 15+ standardized evaluations. Capabilities and context window serve as tiebreakers (10%). Learn more about our methodology.

Command R (08-2024)Entry Level

Scores 41/100 (rank #172), placing it in the top 41% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100
GPT-4.1 NanoEntry Level

Scores 42/100 (rank #171), placing it in the top 41% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100

With only a 0-point gap, these models are in the same performance tier. The practical difference in output quality is minimal - your choice should depend on pricing, latency requirements, and specific feature needs.

When to Use Each Model

Choose Command R (08-2024) when you need:

  • Budget-friendly applications with moderate quality requirements

Choose GPT-4.1 Nano when you need:

  • High-volume production workloads where API costs must be minimized
  • Processing long documents or large codebases (1048K token context)
  • Multimodal workflows that require image understanding
Cost-Performance Analysis
Command R (08-2024)
Input cost$0.15/M tokens
Output cost$0.60/M tokens
Cost per quality point$0.018
Est. monthly (1M tokens/day)$11.25
GPT-4.1 NanoBest Value
Input cost$0.10/M tokens
Output cost$0.40/M tokens
Cost per quality point$0.012
Est. monthly (1M tokens/day)$7.50

GPT-4.1 Nano offers 33% better value per quality point. At 1M tokens/day, you'd spend $7.50/month with GPT-4.1 Nano vs $11.25/month with Command R (08-2024) - a $3.75 monthly difference.

Latency & Speed
Command R (08-2024)Faster
Speed score0/100
GPT-4.1 Nano
Speed score0/100

Both models have comparable response speeds. For most applications, the latency difference is negligible.

When latency matters most: Interactive chatbots, IDE code completion, real-time translation, and user-facing applications where response time directly impacts experience. For batch processing, background summarization, or offline analysis, latency is less critical.

Example Use Cases

Code generation & review

Based on overall model capabilities and architecture for coding tasks like generating functions, debugging, and refactoring

Command R (08-2024)

Customer support chatbot

Suitable for user-facing chat with competitive response times. GPT-4.1 Nano also offers lower per-token costs for high-volume support

Command R (08-2024)

Long document analysis

Larger context window (1048K tokens) can process longer documents, contracts, and research papers in a single pass

GPT-4.1 Nano

Batch data extraction

Lower output pricing ($0.40/M) reduces costs when processing thousands of records daily

GPT-4.1 Nano

Creative writing & content

Higher overall composite score (42/100) correlates with better nuance, coherence, and style in long-form content

GPT-4.1 Nano

Image understanding & OCR

Supports vision input - can analyze screenshots, diagrams, photos, and scanned documents directly

GPT-4.1 Nano
Which Should You Choose?
Our recommendation:
GPT-4.1 Nano

Command R (08-2024) and GPT-4.1 Nano are extremely close in overall performance (only 0.30000000000000426 points apart). Your best choice depends entirely on which specific strengths matter most for your use case.

by Cohere

  • Choose for Quality - Marginally better benchmark scores; both are excellent
  • Choose for Reliability - Higher uptime and faster response speeds
  • Choose for Prototyping - Stronger community support and better developer experience
  • Choose for Production - Wider enterprise adoption and proven at scale
GPT-4.1 Nano
Recommended

by OpenAI

  • Choose for Cost - 33% lower pricing; better value at scale
Capability Comparison
CapabilityCommand R (08-2024)GPT-4.1 Nano
Vision (Image Input)differs
Function Calling
Streaming
JSON Mode
Reasoning
Web Searchdiffers
Image Output
Monthly Cost Calculator
1,000tokens (600 in / 400 out)
100requests/day (3,000/month)

Command R (08-2024)

Cohere

$0.9900
estimated monthly cost

GPT-4.1 Nano

OpenAI

Best Value
$0.6600
estimated monthly cost

GPT-4.1 Nano saves you $0.3300/month

That's 33% cheaper than Command R (08-2024) at 1,000 tokens/request and 100 requests/day.

Assumes 60% input / 40% output token ratio per request. Actual costs may vary based on your usage pattern.

Parameters & Context
ParameterCommand R (08-2024)GPT-4.1 Nano
Context Window128K1.0M
Max Output Tokens4,00032,768
Open SourceNoNo
CreatedAug 30, 2024Apr 14, 2025
Last updated: 15m ago

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